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https://github.com/bytedance/deer-flow.git
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1fbc06279a
* feat(benchmark): add offline memory vs project-context comparison suite (part of #7884) * fix(benchmark): route prompts through DynamicContextMiddleware, flatten rows, and share test run * refactor(benchmark): run through local Gateway and simplify first-pass suite (#7884) * docs(agents): keep context memory benchmark guidance within chain budget * fix(benchmark): verify DeerMem scope rejection --------- Co-authored-by: Totoro <msy626836554@gmail.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
28 lines
973 B
Python
28 lines
973 B
Python
from __future__ import annotations
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import argparse
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import json
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from collections.abc import Sequence
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from pathlib import Path
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from tempfile import TemporaryDirectory
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from .runner import run_offline
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def main(argv: Sequence[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description="Compare DeerMem and project context through an offline Gateway.")
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parser.add_argument("command", choices=["run-offline"])
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parser.add_argument("--output-dir", type=Path, required=True)
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args = parser.parse_args(argv)
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report = run_offline()
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output_dir = args.output_dir
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output_dir.mkdir(parents=True, exist_ok=True)
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target = output_dir / "report.json"
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with TemporaryDirectory(dir=output_dir) as staging:
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path = Path(staging) / target.name
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path.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8")
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path.replace(target)
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print(f"Wrote {target}")
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return 0 if report["passed"] else 1
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